Electroencephalogram Signal Processing

Electroencephalogram Signal Processing is a subfield of biomedical signal processing that develops and applies signal acquisition, conditioning, transformation, and analysis techniques specifically to electroencephalographic (EEG) recordings in order to characterize, interpret, and utilize brain electrical activity.

16.1K

Publications

1.1M

Citations

37.5K

Authors

6.5K

Institutions

Publications per year

2017–2026

6.3K

Authors

37.5K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    90 publications · 14.2K citations

    62

    h-index

  2. TJ
    Tzyy‐Ping Jung

    University of California San Diego, United States

    107 publications · 19.2K citations

    51

    h-index

  3. RB
    Ram Bilas Pachori

    Indian Institute of Technology Indore, India

    67 publications · 8K citations

    46

    h-index

  4. SM
    Scott Makeig

    University of California San Diego, United States

    72 publications · 46.6K citations

    44

    h-index

  5. JG
    Jean Gotman

    Montreal Neurological Institute and Hospital, Canada

    66 publications · 6.4K citations

    43

    h-index

1–5 of 37.5K

Venues

  1. Electroencephalography and Clinical Neurophysiology

    616 publications · 60.8K citations

    113

    h-index

  2. IEEE Transactions on Biomedical Engineering

    432 publications · 43.4K citations

    109

    h-index

  3. NeuroImage

    327 publications · 42.3K citations

    102

    h-index

  4. Clinical Neurophysiology

    398 publications · 38.2K citations

    101

    h-index

  5. 94

    h-index

1–5